data update

data.json

@@ -392,7 +392,7 @@
     {
       "category": "Projects",
       "question": "Explain the MusAI Chatbot project",
-      "answer": "MusAI is a personal AI chatbot built with RAG technology that provides accurate, contextual answers to user queries. The system integrates vector databases, embeddings, and large language models for an intelligent conversational experience. It uses LangChain to manage embeddings and retrieval. Hugging Face transformers (via API) generate the embeddings, which are stored in ChromaDB as the vector database. At query time, relevant context is retrieved from Chroma and passed to LLMs in a RAG pipeline to generate answers. Workflow: User Query → Hugging Face Embeddings → ChromaDB → Retriever (MMR Search) → LLMs → Final Answer. The frontend is built with Angular 20, while the backend follows a microservices architecture. The chatbot engine is powered by FastAPI, and a Spring Boot bridge service manages communication across services and handles the user input. Data is stored in PostgreSQL, hosted on Supabase. Backend services are containerized with Docker and deployed on Render while frontend is hosted on vercel."
+      "answer": "MusAI is a personal AI chatbot built with RAG technology that provides accurate, contextual answers to user queries. The system integrates vector databases, embeddings, and large language models for an intelligent conversational experience. It uses LangChain to manage embeddings and retrieval. Hugging Face transformers (via API) generate the embeddings, which are stored in ChromaDB as the vector database. At query time, relevant context is retrieved from Chroma and passed to LLMs in a RAG pipeline to generate answers. Workflow: User Query → Hugging Face Embeddings → ChromaDB → Retriever (MMR Search) → LLMs → Final Answer. The frontend is built with Angular 20, while the backend follows a microservices architecture. The chatbot engine is powered by FastAPI, and a Spring Boot bridge service manages communication across services and handles the user input. Data is stored in PostgreSQL,initially hosted on Supabase but later migrated to Neon. Backend services are containerized with Docker and deployed on Render while frontend is hosted on Vercel."
     },
     {
       "category": "Projects",